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Adaptive feedforward control of exhaust recirculation in large diesel engines

机译:大型柴油机排气再循环的自适应前馈控制

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摘要

Environmental concern has led the International Maritime Organization to restrict NO푥 emissions from marine diesel engines. Exhaust gas recirculation (EGR) systems have been introduced in order to comply to the new standards. Traditional fixed-gain feedback methods are not able to control the EGR system adequately in engine loading transients so alternative methods are needed. This paper presents the design, convergence proofs and experimental validation of an adaptive feedforward controller that significantly improves the performance in loading transients. First the control concept is generalized to a class of first order Hammerstein systems with sensor delay and exponentially converging bounds of the control error are proven analytically. It is then shown how to apply the method to the EGR system of a two-stroke crosshead diesel engine. The controller is validated by closed loop simulation with a mean-value engine model, on an engine test bed and on a vessel operating at sea. A significant reduction of smoke formation during loading transients is observed both visually and with an opacity sensor.
机译:由于对环境的关注,国际海事组织限制了船用柴油机的NO푥排放。为了符合新标准,引入了废气再循环(EGR)系统。传统的固定增益反馈方法无法在发动机负载瞬变中充分控制EGR系统,因此需要其他方法。本文介绍了一种自适应前馈控制器的设计,收敛证明和实验验证,该控制器可显着提高负载瞬态性能。首先,将控制概念推广到一类具有传感器延迟的一阶Hammerstein系统,并通过分析证明了控制误差的指数收敛范围。然后显示了如何将该方法应用于二冲程十字头柴油机的EGR系统。该控制器通过在发动机试验台和海上作业的船舶上采用均值发动机模型进行闭环仿真来验证。视觉上和使用不透明传感器都可以观察到负载瞬变期间烟雾形成的显着减少。

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